JOURNAL ARTICLE

Error-resilient SPIHT image coding

Shih‐Hsuan YangTsung-Chao Cheng

Year: 2000 Journal:   Electronics Letters Vol: 36 (3)Pages: 208-210   Publisher: Institution of Engineering and Technology

Abstract

The authors develop an efficient error-resilient scheme for the set partitioning in hierarchical trees (SPIHT) technique, one of the most successful image compression algorithms. By partitioning the coded data sequence and adding appropriate side information, the proposed algorithm provides significantly better PSNR performance over noisy channels with a minimal increase in the coding complexity.

Keywords:
Set partitioning in hierarchical trees Computer science Coding (social sciences) Image compression Data compression Algorithm Pattern recognition (psychology) Image (mathematics) Set (abstract data type) Shannon–Fano coding Variable-length code Artificial intelligence Decoding methods Theoretical computer science Image processing Context-adaptive binary arithmetic coding Mathematics Statistics

Metrics

13
Cited By
0.38
FWCI (Field Weighted Citation Impact)
5
Refs
0.62
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence

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